Triple
T322183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IFC |
E6436
|
entity |
| Predicate | logicalPolarity |
P11417
|
FINISHED |
| Object | active low |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: active low | Statement: [IFC, logicalPolarity, active low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicalPolarity Context triple: [IFC, logicalPolarity, active low]
-
A.
logicSystem
Indicates a relationship where an entity is associated with, defined within, or governed by a particular logical framework or system of formal reasoning.
-
B.
logicalForm
Indicates a relationship where an expression is associated with its structured, formal logical representation.
-
C.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
-
D.
decisionLanguage
Indicates that a decision, statement, or choice is expressed or recorded in a particular natural language.
-
E.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea81a1e88190b3496070eb3d85f5 |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e948048c819098ba4de9261ef2ef |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea09a5e881908b313cb37409a4f9 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.